Mathematical Methods in Data Science
Book Details
Format
Paperback / Softback
ISBN-10
0443186790
ISBN-13
9780443186790
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Jan 11th, 2023
Print length
258 Pages
Weight
450 grams
Dimensions
22.70 x 15.10 x 1.60 cms
Product Classification:
Data capture & analysis
Ksh 27,900.00
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Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations. Based on the authors’ recently published and previously unpublished results, this book introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations for dataanalysis and prediction. With data science being used in virtually every aspect of our society, the book includes examples and problems arising in data science and the clear explanation of advanced mathematical concepts, especially data-driven differential equations, making it accessible to researchers and graduate students in mathematics and data science.
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